Quantitative Computed Tomography: What Clinical Questions Can it Answer in Chronic Lung Disease?

Quantitative computed tomography (QCT) has recently gained an important role in the functional assessment of chronic lung disease. Its capacity in diagnostic, staging, and prognostic evaluation in this setting is similar to that of traditional pulmonary function testing. Furthermore, it can demonstrate lung injury before the alteration of pulmonary function test parameters, and it enables the classification of disease phenotypes, contributing to the customization of therapy and performance of comparative studies without the intra- and inter-observer variation that occurs with qualitative analysis. In this review, we address technical issues with QCT analysis and demonstrate the ability of this modality to answer clinical questions encountered in daily practice in the management of patients with chronic lung disease.

Appropriateness of Computed Tomography and Ultrasound for Abdominal Complaints in the Emergency Department.

OBJECTIVE: The purpose of this study was to evaluate the appropriateness of ultrasound (US) and computed tomography (CT) examinations ordered in the emergency department (ED) for abdominal complaints. MATERIALS AND METHODS: We reviewed 154 CTs and 154 US orders for appropriateness using evidence-based recommendations by the American College of Radiology. The sample was powered to show a prevalence of inappropriate orders of 25% with a margin of error of 7.5%. Findings in the final reports were compared to the initial clinical diagnosis classified in 4 categories: normal, compatible with initial diagnosis, alternative diagnosis, and inconclusive. We also evaluated the frequency in which a second imaging modality was ordered on the same visit. RESULTS: A total of 135 CT and 143 US examinations had complete clinical information to allow evaluation of order appropriateness. The rate of inappropriate orders was 36.3% for CT and 84.4% for US. The final report of appropriate orders was significantly more likely to demonstrate findings compatible with the initial diagnosis for both CT (76.7% vs 20.4%, P < 0.0001) and US (38.9% vs 14.4%, P = 0.0093). Inappropriately ordered CT scans were more likely to show no abnormalities (46.9 vs 16.3%, P = 0.0001). An additional imaging order with a secondary modality was requested in 20% of the inappropriate US orders, and 8.2% of the inappropriate CT orders. CONCLUSION: The prevalence of inappropriate examinations in the ED was 36.3% for CT and 84.4% for US. Appropriately ordered exams were more likely to yield imaging findings compatible with the initial diagnosis for both modalities.

Comparison of the computed tomography findings in COVID-19 and other viral pneumonia in immunocompetent adults: a systematic review and meta-analysis.

OBJECTIVES: To compare the chest computed tomography (CT) findings of coronavirus disease 2019 (COVID-19) to other non-COVID viral pneumonia. METHODS: MEDLINE, EMBASE, and Cochrane databases were searched through April 04, 2020, for published English language studies. Studies were eligible if they included immunocompetent patients with up to 14 days of viral pneumonia. Subjects had a respiratory tract sample test positive for COVID-19, adenovirus, influenza A, rhinovirus, parainfluenza, or respiratory syncytial virus. We only included observational studies and case series with more than ten patients. The pooled prevalence of each chest CT pattern or finding was calculated with 95% confidence intervals (95% CI). RESULTS: From 2263 studies identified, 33 were eligible for inclusion, with a total of 1911 patients (COVID-19, n = 934; non-COVID, n = 977). Frequent CT features for both COVID-19 and non-COVID viral pneumonia were a mixed pattern of ground-glass opacity (GGO) and consolidation (COVID-19, 0.37; 0.17-0.56; non-COVID, 0.46; 0.35-0.58) or predominantly GGO pattern (COVID-19, 0.42; 0.28-0.55; non-COVID 0.25; 0.17-0.32), bilateral distribution (COVID-19, 0.81; 0.77-0.85; non-COVID, 0.69; 0.54-0.84), and involvement of lower lobes (COVID-19, 0.88; 0.80-0.95; non-COVID, 0.61; 0.50-0.82). COVID-19 pneumonia presented a higher prevalence of peripheral distribution (COVID-19 0.77; 0.67-0.87; non-COVID 0.34; 0.18-0.49), and involvement of upper (COVID-19, 0.77; 0.65-0.88; non-COVID 0.18; 0.10-0.27) and middle lobes (COVID-19, 0.61; 0.47-0.76; non-COVID 0.24; 0.11-0.38). CONCLUSION: Except for a higher prevalence of peripheral distribution, involvement of upper and middle lobes, COVID-19, and non-COVID viral pneumonia had overlapping chest CT findings. KEY POINTS: • Most common CT findings of coronavirus disease 2019 (COVID-19) were a predominant pattern of ground-glass opacity (GGO), followed by a mixed pattern of GGO and consolidation, bilateral disease, peripheral distribution, and lower lobe involvement. • Most frequent CT findings of non-COVID viral pneumonia were a predominantly mixed pattern of GGO and consolidation, followed by a predominant pattern of GGO, bilateral disease, random or diffuse distribution, and lower lobe involvement. • COVID-19 pneumonia presented a higher prevalence of peripheral distribution, and involvement of upper and middle lobes compared with non-COVID viral pneumonia.

High resolution computed tomography patterns in interstitial lung disease (ILD): prevalence and prognosis. / Padrões de tomografia computadorizada de alta resolução na doença pulmonar intersticial (DPI): prevalência e prognóstico.

OBJECTIVE: To correlate the prevalence and prognosis of each HRCT pattern of typical, probable, and indeterminate usual interstitial pneumonia (UIP) with the clinical multidisciplinary diagnosis of interstitial lung disease (ILD). METHODS: We included all patients with a multidisciplinary diagnosis of ILD with an HRCT pattern of typical UIP, probable UIP, or indeterminate for UIP. Clinical and histopathological data, pulmonary function tests, and survival status were retrospectively obtained. The final diagnosis was validated by a multidisciplinary team. RESULTS: A total of 244 patients were included in the study, with a mean age of 68 ±13 years and being 52.5% males. In a total of 106 patients with typical UIP pattern, 62% had the multidisciplinary diagnosis of IPF, 20% had chronic hypersensitivity pneumonitis (CHP), and 10% had connective tissue disease-related ILD (CTD-ILD). Out of the 114 cases with probable UIP, CTD-ILD corresponded to 39%, IPF to 31%, desquamative interstitial pneumonia to 11%, drug-related lung disease to 9%, and CHP to 8%. In the 24 patients with CT indeterminate for UIP, CTD-ILD was the final diagnosis in 33%, followed by desquamative interstitial pneumonia (21%), and IPF (13%). Patients with typical UIP were more likely to die or had lung transplantation in the follow-up (17.9% and 11.3%, respectively). CONCLUSION: IPF, CHP, and CTD-ILD were the main differential diagnoses in patients with HRCT patterns of typical, probable and indeterminate UIP. Patients with HRCT typical UIP pattern were more likely to die or had lung transplantation in the follow-up.

OBJETIVO: Correlacionar a prevalência e o prognóstico de cada padrão de TCAR de pneumonia intersticial usual (PIU) típica, provável e indeterminada com o diagnóstico clínico multidisciplinar de doença pulmonar intersticial (DPI). MÉTODOS: Incluímos todos os pacientes com diagnóstico multidisciplinar de DPI com padrão de TCAR de PIU típica, PIU provável ou indeterminada para PIU. Dados clínicos e histopatológicos, teste de função pulmonar e status de sobrevida foram obtidos retrospectivamente. O diagnóstico final foi validado por uma equipe multidisciplinar. RESULTADOS: Foram incluídos no estudo 244 pacientes, com média de idade de 68 ± 13 anos sendo 52,5% do sexo masculino. Em um total de 106 pacientes com padrão típico de PIU, 62% tiveram o diagnóstico multidisciplinar de FPI, 20% de pneumonia por hipersensibilidade crônica (PHC) e 10% de DPI relacionada à doença do tecido conjuntivo (DPI-DTC). Dos 114 casos com provável PIU, DPI-DTC correspondeu a 39%, FPI a 31%, pneumonia intersticial descamativa a 11%, doença pulmonar relacionada a medicamentos a 9% e PHC a 8%. Nos 24 pacientes com TC indeterminada para PIU, o DPI-DTC foi o diagnóstico final em 33%, seguido por pneumonia intersticial descamativa (21%) e FPI (13%). Pacientes com PIU típica apresentaram maior probabilidade de morrer ou realizar transplante de pulmão no seguimento (17,9% e 11,3%, respectivamente). CONCLUSÕES: FPI, PHC e DPI-DTC foram os principais diagnósticos diferenciais em pacientes com padrão de TCAR de PIU típica, provável e indeterminada. Pacientes com padrão de PIU típico na TCAR tiveram maior probabilidade de morrer ou realizar transplante de pulmão no seguimento.

Padrões de tomografia computadorizada de alta resolução na doença pulmonar intersticial (DPI): prevalência e prognóstico / High resolution computed tomography patterns in interstitial lung disease (ILD): prevalence and prognosis

RESUMO Objetivo Correlacionar a prevalência e o prognóstico de cada padrão de TCAR de pneumonia intersticial usual (PIU) típica, provável e indeterminada com o diagnóstico clínico multidisciplinar de doença pulmonar intersticial (DPI). Métodos Incluímos todos os pacientes com diagnóstico multidisciplinar de DPI com padrão de TCAR de PIU típica, PIU provável ou indeterminada para PIU. Dados clínicos e histopatológicos, teste de função pulmonar e status de sobrevida foram obtidos retrospectivamente. O diagnóstico final foi validado por uma equipe multidisciplinar. Resultados Foram incluídos no estudo 244 pacientes, com média de idade de 68 ± 13 anos sendo 52,5% do sexo masculino. Em um total de 106 pacientes com padrão típico de PIU, 62% tiveram o diagnóstico multidisciplinar de FPI, 20% de pneumonia por hipersensibilidade crônica (PHC) e 10% de DPI relacionada à doença do tecido conjuntivo (DPI-DTC). Dos 114 casos com provável PIU, DPI-DTC correspondeu a 39%, FPI a 31%, pneumonia intersticial descamativa a 11%, doença pulmonar relacionada a medicamentos a 9% e PHC a 8%. Nos 24 pacientes com TC indeterminada para PIU, o DPI-DTC foi o diagnóstico final em 33%, seguido por pneumonia intersticial descamativa (21%) e FPI (13%). Pacientes com PIU típica apresentaram maior probabilidade de morrer ou realizar transplante de pulmão no seguimento (17,9% e 11,3%, respectivamente). Conclusões FPI, PHC e DPI-DTC foram os principais diagnósticos diferenciais em pacientes com padrão de TCAR de PIU típica, provável e indeterminada. Pacientes com padrão de PIU típico na TCAR tiveram maior probabilidade de morrer ou realizar transplante de pulmão no seguimento.

ABSTRACT Objective To correlate the prevalence and prognosis of each HRCT pattern of typical, probable, and indeterminate usual interstitial pneumonia (UIP) with the clinical multidisciplinary diagnosis of interstitial lung disease (ILD). Methods We included all patients with a multidisciplinary diagnosis of ILD with an HRCT pattern of typical UIP, probable UIP, or indeterminate for UIP. Clinical and histopathological data, pulmonary function tests, and survival status were retrospectively obtained. The final diagnosis was validated by a multidisciplinary team. Results A total of 244 patients were included in the study, with a mean age of 68 ±13 years and being 52.5% males. In a total of 106 patients with typical UIP pattern, 62% had the multidisciplinary diagnosis of IPF, 20% had chronic hypersensitivity pneumonitis (CHP), and 10% had connective tissue disease-related ILD (CTD-ILD). Out of the 114 cases with probable UIP, CTD-ILD corresponded to 39%, IPF to 31%, desquamative interstitial pneumonia to 11%, drug-related lung disease to 9%, and CHP to 8%. In the 24 patients with CT indeterminate for UIP, CTD-ILD was the final diagnosis in 33%, followed by desquamative interstitial pneumonia (21%), and IPF (13%). Patients with typical UIP were more likely to die or had lung transplantation in the follow-up (17.9% and 11.3%, respectively). Conclusion IPF, CHP, and CTD-ILD were the main differential diagnoses in patients with HRCT patterns of typical, probable and indeterminate UIP. Patients with HRCT typical UIP pattern were more likely to die or had lung transplantation in the follow-up.

Magnetic resonance imaging of interstitial lung diseases: A state-of-the-art review.

Magnetic resonance imaging (MRI) has been emerging as an imaging modality to assess interstitial lung diseases (ILD). An optimal chest MRI protocol for ILDs should include non-contrast breath-holding sequences, steady-state free-precession sequences, and contrast-enhanced sequences. One of the main MRI applications in ILDs is the differentiation between areas of active inflammation (i.e. reversible stage) and fibrosis. Alveolitis presents high signal intensity on T2-weighted sequences (WS) and early-enhancement on contrast-enhanced MR sequences, while fibrotic-predominant lesions present low signal and late-enhancement in these sequences, respectively. MRI can be useful in connective tissue diseases, idiopathic pulmonary fibrosis, and sarcoidosis. The aim of this state-of-the-art review was to perform a state-of-the-art review on the use of MRI in ILDs, and propose the optimal MRI protocols for imaging ILDs.

Air trapping in usual interstitial pneumonia pattern at CT: prevalence and prognosis.

This study was conducted to evaluate the presence of air trapping in patients with idiopathic pulmonary fibrosis (IPF) and other interstitial lung diseases (ILDs) (non-IPF), showing the radiological pattern of usual interstitial pneumonia (UIP). Retrospectively, we included 69 consecutive patients showing the typical UIP pattern on computed tomography (CT), and 15 final diagnosis of IPF with CT pattern "inconsistent with UIP" due to extensive air trapping. Air trapping at CT was assessed qualitatively by visual analysis and quantitatively by automated-software. In the quantitative analysis, significant air trapping was defined as >6% of voxels with attenuation between -950 to -856 HU on expiratory CT (expiratory air trapping index [ATIexp]) or an expiratory to inspiratory (E/I) ratio of mean lung density >0.87. The sample comprised 51 (60.7%) cases of IPF and 33 (39.3%) cases of non-IPF ILD. Most patients did not have air trapping (E/I ratio ≤0.87, n = 53, [63.1%]; ATIexp ≤6%, n = 45, [53.6%]). Air trapping in the upper lobes was the only variable distinguishing IPF from non-IPF ILD (prevalence, 3.9% vs 33.3%, p < 0.001). In conclusion, air trapping is common in patients with ILDs showing a UIP pattern on CT, as determined by qualitative and quantitative evaluation, and should not be considered to be inconsistent with UIP. On subjective visual assessment, air trapping in the upper lobes was associated with a non-IPF diagnoses.

Quantitative computed tomography phenotypes, spirometric parameters, and episodes of exacerbation in heavy smokers: An analysis from South America.

OBJECTIVE: To evaluate the quantitative computed tomography (QCT) phenotypes, airflow limitations, and exacerbation-like episodes in heavy smokers in Southern Brazil. METHODS: We enrolled 172 smokers with a smoking history ≥30 pack-years who underwent pulmonary function tests (PFTs) and CT scan for lung cancer screening. Patients were classified regarding airflow limitation (FEV1/FVC <0.7 forced expiratory volume in 1 second/forced vital capacity) and the presence of emphysema on the QCT. The QCT were analyzed in specialized software and patients were classified in two disease-predominant phenotypes: emphysema-predominant (EP) and non-emphysema-predominant (NEP). EP was determined as ≥6% of percent low-attenuation areas (LAA%) with less than -950 Hounsfield units. NEP was defined as having a total LAA% of less than 6%. RESULTS: Most of our patients were classified in the EP phenotype. The EP group had significantly worse predicted FEV1 (60.6 ±22.9 vs. 89.7 ±15.9, p <0.001), higher rates of airflow limitation (85.7% vs. 15%; p <0.001), and had more exacerbation-like episodes (25.8% vs. 8.3%, p <0.001) compared to the NEP group. Smoking history, ethnicity, and BMI did not differ between the groups. The total LAA% was the QCT parameter with the strongest correlation to FEV1 (r = -0.669) and FEV1/FVC (r = -0.787). CONCLUSIONS: Heavy smokers with the EP phenotype on QCT were more likely to have airflow limitation, worse predicted FEV1, and a higher rate of exacerbation-like episodes than those with the NEP phenotype. Approximately 23% of patients with no airflow limitation on PFTs were classified in EP phenotype.